Information Retrieval in Biomedicine

Auteur

Violaine Prince is full professor at the University Montpellier 2 (Montpellier, France). She obtained her PhD in 1986 at the university of Paris VII, and her 'habilitation' (post-PhD degree) at the University of Paris XI (Orsay). Previous head of Computer Science department at the Faculty of Sciences in Montpellier, previous head of the National University Council for Computer Science (grouping 3,000 professors and assistant professors in Computer Science in France), she now leads the NLP research team at LIRMM (Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier, a CNRS research unit). Her research interests are in natural language processing (NLP) and cognitive science. She has published more than 70 reviewed papers in books, journals and conferences, authored 10 research and education books, founded and chaired several conferences and belonged to program committees as well as journals reading committees. She is member of the board of the IEEE Computer Society French Chapter. Mathieu Roche is Assistant Professor at the University Montpellier 2, France. He received a Ph. D. in Computer Science at the University Paris XI (Orsay) in 2004. With Jerome Aze, he created in 2005 the DEFT challenge ('DEfi Francophone de Fouille de Textes' meaning 'Text Mining Challenge') which is a francophone equivalent of the TREC Conferences. His current main research interests at LIRMM (Laboratoire d'Informatique, de Robotique et de Microelectronique de Montpellier, a CNRS research unit) are Text Mining, Information Retrieval, Terminology, and Natural Language Processing for Schema Mapping.

Texte du rabat
Today, there is an intense interest for bio natural language processing (NLP) creating a need among researchers, academicians, and practitioners for a comprehensive publication of articles in this area. Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration provides relevant theoretical frameworks and the latest empirical research findings in this area according to a linguistic granularity. As a critical mass of advanced knowledge, this book presents original applications, going beyond existing publications while opening up the road for a broader use of NLP in biomedicine.

Contenu
Automatic alignment of medical terminologies; Biomedical information extraction; Biomedical terminological resources for information retrieval; Cross-language information retrieval; Extracting patient case profiles; Knowledge integration in biomedicine; Lexical enrichment of biomedical ontology; Lexical granularity for automatic indexing; Medical information retrieval systems; Natural language processing; Ontological knowledge management; Participative analysis and language engineering; Word sense disambiguation in biomedical applications.